Acoustic-phonetic features for the automatic classification of stop consonants.

Acoustic-phonetic features for the automatic classification of stop consonants.

In this paper, the acoustic-phonetic characteristics of the American English stop consonants are investigated. Features studied in the literature are evaluated for their information content and new features are proposed. A statistically guided, knowledge-based, acoustic-phonetic system for the autom...

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Détails bibliographiques
Publié dans:IEEE Transactions on speech and audio processing 9, 8 (2001).
Auteur principal: Ali, A.M.A
Format: Article
Langue:English
Sujets:
American English stop consonants.
TIMIT database continuous speech.
Acoustic-phonetic features.
Auditory-based front-end processing.
Automatic classification.
Dialects.
Features extraction.
Features manipulation.
Hard decision algorithms.
Place articulation detection.
Recognition experiments.
Speaker independent continuous speech.
Statistically guided knowledge-based acoustic-phonetic system.
Voicing detection.